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基于在分布式反激光二极管中注射锁定的低值全光非线性激活功能.

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    研究人员使用分布式反激光二极管 (DFB-LD) 开发了一种低值,高速全光非线性激活单元. 这个单元通过有效地解决复杂方程,显示出高通量光学神经网络 (ONN) 的前景.

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    科学领域:

    • 光子学是指光子学的使用方法.
    • 光学计算是指光学计算的应用.
    • 非线性光学是非线性光学.

    背景情况:

    • 光学神经网络 (ONN) 需要高效的非线性激活单元来进行复杂的计算.
    • 现有的光学激活方法经常面临低值和高速度的挑战.
    • 分布反激光二极管 (DFB-LDs) 提供了独特的非线性载体动态.

    研究的目的:

    • 通过实验证明一个全光学非线性激活单元.
    • 为了实现低值和高速非线性激活功能.
    • 在神经网络应用中验证单元的性能.

    主要方法:

    • 利用分布式反激光二极管 (DFB-LD) 中的注射锁定效应.
    • 优化运营条件以利用非线性航母动态.
    • 应用开发的单位来解决二次普通微分方程.

    主要成果:

    • 在-15.86dBm时显示出低值非线性激活功能.
    • 在1 GHz实现了高速运行.
    • 在微分方程任务中获得0.0034的低拟合误差.

    结论:

    • 开发的基于DFB-LD的单元提供了具有竞争力的低门,高速光学非线性激活解决方案.
    • 该单元的性能验证了其适用于光学神经网络应用的可行性.
    • 低值设计非常适合开发具有大风扇出口能力的高通量ONN.